CN114125896B - Radio resource load evaluation method, device and computer readable storage medium - Google Patents

Radio resource load evaluation method, device and computer readable storage medium Download PDF

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CN114125896B
CN114125896B CN202111290552.7A CN202111290552A CN114125896B CN 114125896 B CN114125896 B CN 114125896B CN 202111290552 A CN202111290552 A CN 202111290552A CN 114125896 B CN114125896 B CN 114125896B
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target cell
sampling
sampling period
radio resource
resource utilization
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CN114125896A (en
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金雨超
李�一
李菲
李德屹
郭省力
李京辉
贾玉玮
程新洲
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China United Network Communications Group Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
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Abstract

The application provides a wireless resource load assessment method, a wireless resource load assessment device and a computer readable storage medium, relates to the technical field of communication, and can reflect the actual load condition of cell wireless resources in a MIMO scene. The method comprises the following steps: acquiring sampling data of a target cell in a sampling period; determining the airspace available layer number of the target cell in the sampling period according to the sampling data; determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the airspace available layer number of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used to evaluate the radio resource load of the target cell.

Description

Radio resource load evaluation method, device and computer readable storage medium
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating a radio resource load, and a computer readable storage medium.
Background
With the development of communication technology, a large-scale multiple-input multiple-output (massive MIMO) technology (may also be referred to as a large-scale multiple antenna) is widely used as a key technology for communication by a fifth generation mobile communication technology (5th generation mobile communication technology,5G) in a wireless network, and in a MIMO scenario, wireless resources may be spatially separated into different spatial layers (layers) from a spatial dimension, or spatial layers. Currently, the radio resource load condition of a cell is generally estimated according to the calculated radio resource utilization rate of the cell. Therefore, in the MIMO scenario, the available layer number of the cell airspace should be considered when evaluating the radio resource load situation of the cell by calculating the radio resource utilization of the cell.
When the utilization rate of the wireless resource of the cell in the MIMO scene is calculated, the space division factor Alpha is introduced to represent the available layer number of the cell airspace. Currently, only the space division factor is specified as a configured constant, and the constant is required to make the radio resource utilization of the cell smaller than 1. However, in practical applications, the situations of different cells are different, so that the number of available layers of the airspace of different cells may not be the same, and the number of available layers of the airspace of the cells may also change with time, so that if the fixed constant is used as the space division factor to calculate the wireless resource utilization rate of the cells in the MIMO scene, the space division factor cannot faithfully reflect the actual space (space division) capability of the different cells, and further the calculated wireless resource utilization rate of the cells cannot reflect the actual load situation of the wireless resources of the cells in the MIMO scene. Therefore, how to provide a radio resource load assessment method capable of reflecting the actual load condition of the radio resources of the cell in the MIMO scenario is a problem to be solved at present.
Disclosure of Invention
The application provides a wireless resource load assessment method, a wireless resource load assessment device and a computer readable storage medium, which are used for solving the problem that the current wireless resource load assessment method cannot faithfully reflect the actual load condition of the wireless resources of a cell in a MIMO scene.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect, there is provided a radio resource load assessment method, which can be performed by a radio resource load assessment apparatus, the method comprising: acquiring sampling data of a target cell in a sampling period; determining the airspace available layer number of the target cell in the sampling period according to the sampling data; determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the airspace available layer number of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used to evaluate the radio resource load of the target cell.
The radio resource load assessment method provided by the application is determined based on the airspace available layer number of the target cell in the sampling period when the radio resource utilization rate of the target cell is determined. Because the number of airspace available layers of the target cell in the sampling period is determined according to the sampling data in the sampling period, if the situation of the cell changes, the number of airspace available layers of the target cell in the sampling period can also automatically change along with the change of the spatial capacity of the cell, in other words, in the scheme, the number of airspace available layers of the target cell determined according to the sampling data can represent the actual spatial capacity of the target cell in real time. Furthermore, the actual load condition of the wireless resources of the cells in different cells or different user distribution scenes can be reflected in real time according to the wireless resource utilization rate of the cells determined by the airspace available layer number of the target cells in the sampling period. In summary, compared with the existing scheme that the space division factor Alpha used for representing the available layer number of the cell airspace is a configured fixed constant, the scheme solves the problem that the existing scheme is easy to cause unreasonable space division factor Alpha value setting to cause that the wireless resource utilization rate cannot reflect the actual resource occupation, can more accurately and reasonably reflect the wireless resource load condition of the cell under the MIMO scene, and solves the problem that the existing scheme needs to adjust the space division factor Alpha frequently and repeatedly along with the change of time, scene and user distribution, and can reduce the artificial error caused by external interference.
With reference to the first aspect, in certain implementation manners of the first aspect, determining, according to the sampling data, a spatial domain available layer number of the target cell in a sampling period includes: determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling moment j in the sampling period T according to the sampling data; average scheduling of service channels of target cells corresponding to sampling time jThe number of layers and a first calculation rule are used for determining the airspace available number of layers of a target cell in a sampling period, and the first calculation rule meets the following relation: LM (T) =max j (L avg,j ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein, LM (T) represents the space domain available layer number of the target cell in the sampling period T; l (L) avg,j The average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T is shown; MAX (MAX) j (L avg,j ) Representing L corresponding to each sampling moment j avg,j In the method, the L with the largest value is taken avg,j 。
With reference to the first aspect, in certain implementations of the first aspect, the sampling data includes: m1 i,j (T)，L i,j (T) and PRB j ，M1 i,j (T) represents the number of physical resource blocks PRB occupied by the terminal equipment i of the access target cell corresponding to the sampling time j in the sampling period T; l (L) i,j (T) represents the number of space layers occupied by PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; PRB (physical resource block) j The number of PRBs occupied by the service channels of the target cell corresponding to the sampling time j in the sampling period T is represented; according to the sampling data, determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T, including: determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data and a second calculation rule, wherein the second calculation rule satisfies the following relation:wherein L is avg,j Representing the average scheduling layer number Sigma of the traffic channel of the target cell corresponding to the sampling time j in the sampling period T i Representing the summation of all i.
With reference to the first aspect, in certain implementations of the first aspect, the sampling data includes: m1 i,j (T)，L i,j (T), N (T) and P (T), M1 i,j (T) represents the number of physical resource blocks PRB occupied by the terminal equipment i of the access target cell corresponding to the sampling time j in the sampling period T; l (L) i,j (T) represents the empty space occupied by the PRB scheduled by the terminal device i corresponding to the sampling time j in the sampling period TThe number of layers; n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of available PRBs of each layer of traffic channel of the target cell at each sampling moment in the sampling period T; determining the radio resource utilization rate of the target cell in the sampling period according to the sampling data and the airspace available layer number of the target cell in the sampling period, including: according to the sampling data, the airspace available layer number of the target cell in the sampling period and a third calculation rule, determining the wireless resource utilization rate of the target cell in the sampling period, wherein the third calculation rule satisfies the following relation: Wherein M is E (T) shows the radio resource utilization of the target cell within the sampling period T>Representing summing all i; />Representing the summation of all j.
With reference to the first aspect, in certain implementation manners of the first aspect, the radio resource utilization of the target cell is an uplink radio resource utilization of the target cell or a downlink radio resource utilization of the target cell; under the condition that the wireless resource utilization rate of the target cell is the uplink wireless resource utilization rate of the target cell, the service channel is a Physical Uplink Shared Channel (PUSCH); when the radio resource utilization rate of the target cell is the downlink radio resource utilization rate of the target cell, the traffic channel is a physical downlink shared channel PDSCH channel.
In a second aspect, a radio resource load assessment apparatus is provided for implementing the radio resource load assessment method described above. The radio resource load assessment device comprises a corresponding module, unit or means (means) for realizing the method, wherein the module, unit or means can be realized by hardware, software or realized by executing corresponding software by hardware. The hardware or software includes one or more modules or units corresponding to the functions described above.
With reference to the second aspect, in certain embodiments of the second aspect, the radio resource load assessment apparatus includes: a communication module and a processing module; the communication module is used for acquiring sampling data of a target cell in a sampling period; the processing module is used for determining the airspace available layer number of the target cell in the sampling period according to the sampling data; the processing module is also used for determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the airspace available layer number of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used to evaluate the radio resource load of the target cell.
With reference to the second aspect, in some implementations of the second aspect, the processing module is configured to determine, according to the sampling data, a number of spatial available layers of the target cell in a sampling period, including: the processing module is used for determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling moment j in the sampling period T according to the sampling data; according to the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j and a first calculation rule, determining the airspace available layer number of the target cell in the sampling period, wherein the first calculation rule satisfies the following relation: LM (T) =max j (L avg,j ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein, LM (T) represents the space domain available layer number of the target cell in the sampling period T; l (L) avg,j The average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T is shown; MAX (MAX) j (L avg,j ) Representing L corresponding to each sampling moment j avg,j In the method, the L with the largest value is taken avg,j 。
With reference to the second aspect, in certain embodiments of the second aspect, the sampling data includes: m1 i,j (T)，L i,j (T) and PRB j ，M1 i,j (T) represents the number of physical resource blocks PRB occupied by the terminal equipment i of the access target cell corresponding to the sampling time j in the sampling period T; l (L) i,j (T) represents the number of space layers occupied by PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; PRB (physical resource block) j The number of PRBs occupied by the service channels of the target cell corresponding to the sampling time j in the sampling period T is represented; a processing module for processing the data according to the sampling numberAccording to the above, determining the average scheduling layer number of the traffic channel of the target cell corresponding to the sampling time j in the sampling period T includes: the processing module is used for determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data and a second calculation rule, and the second calculation rule satisfies the following relation:wherein L is avg,j The average scheduling layer number of the traffic channel of the cell corresponding to the sampling time j in the sampling period T is shown as sigma i Representing the summation of all i.
With reference to the second aspect, in certain embodiments of the second aspect, the sampling data includes: m1 i,j (T)，L i,j (T), N (T) and P (T), M1 i,j (T) represents the number of physical resource blocks PRB occupied by the terminal equipment i of the access target cell corresponding to the sampling time j in the sampling period T; l (L) i,j (T) represents the number of space layers occupied by PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of available PRBs of each layer of traffic channel of the target cell at each sampling moment in the sampling period T; the processing module is used for determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the airspace available layer number of the target cell in the sampling period, and comprises the following steps: the processing module is used for determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data, the airspace available layer number of the target cell in the sampling period and a third calculation rule, wherein the third calculation rule meets the following relation: wherein M is E (T) represents the radio resource utilization of the target cell during the sampling period T, +. >Representing summing all i; />Representing the summation of all j.
With reference to the second aspect, in some embodiments of the second aspect, the radio resource utilization of the target cell is an uplink radio resource utilization of the target cell or a downlink radio resource utilization of the target cell; under the condition that the wireless resource utilization rate of the target cell is the uplink wireless resource utilization rate of the target cell, the service channel is a Physical Uplink Shared Channel (PUSCH); when the radio resource utilization rate of the target cell is the downlink radio resource utilization rate of the target cell, the traffic channel is a physical downlink shared channel PDSCH channel.
In a third aspect, there is provided a radio resource load assessment apparatus comprising: at least one processor; the processor is configured to execute a computer program or instructions to cause the radio resource load assessment device to perform the method of the first aspect described above.
With reference to the third aspect, in certain embodiments of the third aspect, the radio resource load assessment apparatus further includes a memory for holding necessary program instructions and data. The memory may be coupled to the processor or may be separate from the processor.
In some possible designs, the radio resource load assessment device may be a chip or a system-on-chip. When the radio resource load assessment device is a chip system, the radio resource load assessment device may be constituted by a chip, or may include a chip and other discrete devices.
In a fourth aspect, there is provided a computer readable storage medium having stored therein computer instructions which, when executed by a computer, cause the computer to perform the method of the first aspect described above.
In a fifth aspect, there is provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the first aspect described above.
The technical effects of any one of the design manners of the second aspect to the fifth aspect may be referred to the technical effects of the different design manners of the first aspect, and are not described herein.
Drawings
Fig. 1 is an application scenario schematic diagram of a wireless resource load assessment method provided in an embodiment of the present application;
fig. 2 is a flow chart of a radio resource load assessment method according to an embodiment of the present application;
fig. 3 is a schematic diagram of a resource occupation situation of a PDSCH channel of a cell a corresponding to a first sampling time provided in an embodiment of the present application;
Fig. 4 is a schematic diagram of a resource occupation situation of a PDSCH channel of a cell a corresponding to a second sampling time provided in an embodiment of the present application;
fig. 5 is a schematic diagram of a resource occupation situation of a PDSCH channel of a cell a corresponding to a third sampling time provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram of a radio resource load assessment device provided in the present application;
fig. 7 is a schematic structural diagram of another radio resource load assessment device provided in the present application.
Detailed Description
For the convenience of understanding the technical solutions of the embodiments of the present application, a brief description of related technologies or terms of the present application is given below.
1、MIMO：
massive MIMO is widely used in wireless networks as a key technology for 5G communication. In the MIMO scenario, besides the time domain dimension and the frequency domain dimension, the radio resource may be spatially separated into different spatial layers from the spatial domain dimension, or the spatial layer.
The MIMO technology can be classified into single-user MIMO (SU-MIMO) and multi-user MIMO (MU-MIMO) by distinguishing the number of users scheduled on the same time-frequency resource.
SU-MIMO, i.e. "single user multiple input multiple output", multiple spatial layers of the same time-frequency resource are occupied by the same terminal device.
MU-MIMO, namely 'multi-user multiple-input multiple-output', is added with a multi-user simultaneous communication mechanism on the basis of SU-MIMO, a plurality of terminal devices can share the same time-frequency resource in a space division mode, and network devices can simultaneously utilize the same time-frequency resource with the plurality of terminal devices to carry out uplink and downlink data transmission, so that extra multi-user diversity gain is obtained, and the utilization rate of wireless resources is improved.
2. The wireless resource load assessment method in the 5G system comprises the following steps:
currently, radio resource load is typically estimated by calculating the utilization of radio side physical resource block (physical resource block, PRB) resources. Considering that the PRB in 5G can be spatially separated, in the current third generation partnership project (3rd Generation Partnership Project,3GPP) protocol, the radio side PRB resource utilization defined by the 38.314 protocol adds an evaluation to the PRB airspace resource, and for the radio resource utilization of the target cell, the given calculation formula is as follows:
wherein M (T) represents a radio resource utilization rate of the target cell in the sampling period T (may also be referred to as a radio resource utilization rate of a traffic channel of the target cell in the sampling period); m1 i,j (T) represents the number of PRBs occupied by the terminal equipment i corresponding to the sampling time j in the sampling period T (the terminal equipment i is the terminal equipment accessed to the target cell); l (L) ij (T) represents the number of spatial layers occupied by the PRB occupied by the terminal device i corresponding to the sampling time j (or the number of spatial layers of the scheduling PRB of the terminal device i corresponding to the sampling time j) in the sampling period T; alpha represents a space division factor; n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of PRBs available per layer (spatial layer) of traffic channel of the target cell per sampling instant in the sampling period T. Currently, P (T) is a preconfigured constant related to frequency domain bandwidth, and, by way of example, P (T) may be configured as 273.
To avoid ambiguity, the meaning of some of the operators in equation (1) is explained as follows: in the formula (1)The representation being for all, e.g.>The representation is for all i; sigma represents the sum, e.g.>Representing summing all i; />Representing a rounding down, e.g.This is generally described herein, and will not be described in detail.
From the significance of the above parameters, it will be appreciated that, in equation (1),the number of PRBs actually occupied by all terminal devices in the target cell in the sampling period is multiplied by the number of layers of the actual scheduling PRBs, in other words, the number of layers of the actual scheduling PRBs is expressed as the number of radio resources commonly occupied by the cell in three dimensions of a time domain, a frequency domain and a space domain in the sampling period. N (T) P (T) represents the number of PRBs available per layer traffic channel of the target cell in the sampling period. Therefore, in order to calculate the radio resource utilization of the cell in the sampling period T according to the formula (1), the meaning represented by the space division factor Alpha should be the number of spatial (space) available layers of the cell, so that N (T) x P (T) x Alpha can be used to represent the available radio resources of the cell in the sampling period in common in the three dimensions of the time domain, the frequency domain and the spatial domain.
For Alpha, the current protocol is defined as a configured constant, the value range is 1-100, and the value of Alpha is defined so that the value of PRB utilization is within a reasonable range (i.e. the value of M (T) is not greater than 1).
However, in practical applications, the number of spatial layers that can be scheduled by the cells is different due to different geographical environments where each cell is located, different user location distributions, different bearer service types and different traffic volumes, and other factors, in other words, the number of spatial available layers of the cells varies with time and space. Therefore, if the Alpha of each cell is unified to be a fixed constant regardless of the actual situation of the cell, the PRB utilization data is abnormal, the actual space capacity of different cells cannot be reflected faithfully, and the change of the actual space capacity of the same cell under different scenes cannot be reflected.
For example, when Alpha is configured to be a larger value, a part of cells use unreachable limit capability (spatial capability) as a denominator, which results in that the PRB utilization calculated according to the formula (1) is continuously low, but the actual PRB utilization is already high, so that the radio resource load of the cells is unreasonable to evaluate, the user service is affected, and the user experience is poor. And when Alpha is configured to be smaller, unreasonable phenomenon that the PRB utilization rate exceeds hundred occurs in part of cells. Therefore, in order to meet the requirement that the PRB utilization ratio should not exceed a predetermined value of Alpha, the space division factor Alpha needs to be set larger, which results in abnormal data of the radio resource utilization ratio calculated by a part of cells, and cannot reflect the actual load situation of the radio resource of the cells. Therefore, how to provide a radio resource load assessment method capable of reflecting the actual load condition of the radio resources of the cell in the MIMO scenario is a problem to be solved at present.
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Wherein, in the description of the present application, "/" means that the related objects are in a "or" relationship, unless otherwise specified, for example, a/B may mean a or B; the term "and/or" in this application is merely an association relation describing an association object, and means that three kinds of relations may exist, for example, a and/or B may mean: there are three cases, a alone, a and B together, and B alone, wherein a, B may be singular or plural.
In the description of the present application, unless otherwise indicated, "a plurality" means two or more than two. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
In addition, in order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, the words "first", "second", and the like are used to distinguish the same item or similar items having substantially the same function and effect. It will be appreciated by those of skill in the art that the words "first," "second," and the like do not limit the amount and order of execution, and that the words "first," "second," and the like do not necessarily differ. Meanwhile, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion that may be readily understood.
It is appreciated that reference throughout this specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, various embodiments are not necessarily referring to the same embodiments throughout the specification. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present application, the sequence number of each process does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It is to be understood that in this application, the terms "when …," "if," and "if" are used to indicate that the corresponding process is to be performed under some objective condition, and are not intended to limit the time, nor do they require that the acts be performed with a judgment, nor are they intended to imply that other limitations are present.
The term "simultaneously" in the present application is understood to mean at the same point in time, also during a period of time, and also during the same period.
It can be appreciated that some optional features of the embodiments of the present application may be implemented independently in some scenarios, independent of other features, such as the scheme on which they are currently based, to solve corresponding technical problems, achieve corresponding effects, or may be combined with other features according to requirements in some scenarios. Accordingly, the apparatus provided in the embodiments of the present application may also implement these features or functions accordingly, which is not described herein.
Throughout this application, unless specifically stated otherwise, identical or similar parts between the various embodiments may be referred to each other. In the various embodiments and the various implementation/implementation methods in the various embodiments in this application, if no special description and logic conflict exist, terms and/or descriptions between different embodiments and between the various implementation/implementation methods in the various embodiments may be consistent and may be mutually referred to, technical features in the different embodiments and the various implementation/implementation methods in the various embodiments may be combined to form new embodiments, implementations, implementation methods, or implementation methods according to their inherent logic relationships. The following embodiments of the present application are not to be construed as limiting the scope of the present application.
The technical solutions of the embodiments of the present application may be used in various communication systems, which may be a third generation partnership project (third generation partnership project,3 GPP) communication system, for example, a long term evolution (long term evolution, LTE) system, a 5G mobile communication system, an NR system, a new air interface internet of vehicles (vehicle to everything, NR V2X) system, a system of LTE and 5G hybrid networking, or a device-to-device (D2D) communication system, a machine-to-machine (machine to machine, M2M) communication system, an internet of things (Internet of Things, ioT), and other next generation communication systems, and may also be a non-3 GPP communication system, without limitation.
The technical solution of the embodiment of the application can be applied to various communication scenes, for example, one or more of the following communication scenes: enhanced mobile broadband (enhanced mobile broadband, emmbb), ultra-reliable low latency communication (ultra reliable low latency communication, URLLC), machine type communication (machine type communication, MTC), large-scale machine type communication (massive machine type communications, mctc), D2D, V2X, and IoT, among other communication scenarios.
The above communication system and communication scenario to which the present application is applied are merely examples, and the communication system and communication scenario to which the present application is applied are not limited thereto, and are collectively described herein, and are not described in detail.
Fig. 1 is a schematic application scenario diagram of a radio resource load assessment method according to an embodiment of the present application. The application scenario includes a radio resource load assessment apparatus 10 and a plurality of terminal devices 20. Wherein the plurality of terminal apparatuses 20 access the target cell, and the terminal apparatus 20 participates in MU-MIMO among the plurality of terminal apparatuses 20.
In this application scenario, after the radio resource load assessment device 10 obtains the sampling data of the target cell in the sampling period, the number of airspace available layers of the target cell in the sampling period can be determined according to the sampling data. Then, the radio resource load assessment device 10 determines the radio resource utilization rate of the target cell in the sampling period according to the sampling data and the airspace available layer number of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used to evaluate the radio resource load of the target cell. The specific implementation and technical effects of this scheme will be described in detail in the following method embodiments, and are not described here again.
Optionally, as shown in fig. 1, the application scenario may further include an acquisition device 30. The acquisition device 30 is configured to acquire sampling data of the target cell according to a sampling period. In the embodiment of the present application, the radio resource load assessment apparatus 10 may be an apparatus independent of the acquisition apparatus 30, in which case the radio resource load assessment apparatus 10 may acquire sample data from the acquisition apparatus 30 (fig. 1 shows this case as an example). Alternatively, the radio resource load assessment device 10 may be a module/chip in the acquisition device 30. Alternatively, the radio resource load assessment device 10 may be integrated in the same device as the acquisition device 30. Fig. 1 shows only an example of a case where the radio resource load assessment apparatus 10 is an apparatus independent of the acquisition apparatus 30.
Optionally, the collecting device 30 in the embodiment of the present application. May be a wireless network element device.
Alternatively, the terminal device 20 in the embodiment of the present application may be a device for implementing a wireless communication function, such as a terminal or a chip that may be used in the terminal. A terminal may also be referred to as a User Equipment (UE), mobile station, mobile terminal, etc. The terminal may be a cell phone, a tablet computer, a computer with a wireless transceiving function, a virtual reality terminal device, an augmented reality terminal device, a wireless terminal in industrial control, a wireless terminal in unmanned operation, a wireless terminal in teleoperation, a wireless terminal in smart grid, a wireless terminal in transportation security, a wireless terminal in smart city, a wireless terminal in smart home, etc. The embodiment of the application does not limit the specific technology and the specific equipment form adopted by the terminal equipment.
Alternatively, the related functions of the radio resource load assessment apparatus 10 in the embodiments of the present application may be implemented by one device, or may be implemented by a plurality of devices together, or may be implemented by one or more functional modules in one device, which is not specifically limited in the embodiments of the present application. It will be appreciated that the above described functionality may be either a network element in a hardware device, or a software functionality running on dedicated hardware, or a combination of hardware and software, or a virtualized functionality instantiated on a platform (e.g., a cloud platform).
Next, a description will be given of a radio resource load evaluation method provided in the embodiment of the present application with reference to fig. 1. Fig. 2 is a schematic flow chart of a radio resource load assessment method according to an embodiment of the present application, where the radio resource load assessment method may be applied to the application scenario shown in fig. 1. Specifically, the radio resource load evaluation method includes the following steps:
s201, the wireless resource load assessment device acquires sampling data of a target cell in a sampling period.
S202, the wireless resource load assessment device determines the airspace available layer number of the target cell in the sampling period according to the sampling data.
S203, the wireless resource load assessment device determines the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the airspace available layer number of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used to evaluate the radio resource load of the target cell.
For S201, in the embodiment of the present application, the radio resource load assessment device may take a fixed time period as a sampling period, acquire sampling data of a target cell corresponding to each sampling time in the sampling period, and assess the radio resource load of the cell according to the acquired sampling data.
The sampling period may be, for example, 15 minutes in the embodiment of the present application, which is not limited in particular.
Optionally, in this embodiment of the present application, the sampling data may be performance management (performance management, PM) data that is acquired by the acquisition device according to a sampling period and stored in the operation support system (operation support systems, OSS), and may also be referred to as O-domain PM data acquired by the acquisition device according to the sampling period. In other words, the radio resource load assessment device acquires the PM data of the target cell in the sampling period from the OSS as the sampling data.
Illustratively, in the embodiment of the present application, the collecting device may be an Operation and Maintenance Center (OMC) network element.
For S202, in one possible implementation manner, the radio resource load assessment apparatus may determine the number of spatial available layers of the target cell according to the preconfigured first calculation rule and the acquired sampling data.
In order to facilitate understanding how to determine the number of available layers in the space domain of the target cell in the scheme of the present application, the available layers in the space domain of the target cell are represented by the average number of maximum scheduling layers in the time domain of the frequency domain, and the manner of determining the available layers in the space domain of the target cell (or determining the average number of maximum scheduling layers in the time domain of the frequency domain) is described in an unfolding manner. In the embodiment of the present application, the frequency domain average time domain maximum scheduling layer number is merely an example name of a parameter for characterizing the spatial domain available layer number of the target cell, and may be other names in specific implementation, which is not specifically limited in the embodiment of the present application.
In this embodiment of the present application, the first calculation rule may satisfy the following formula (2):
LM(T)＝MAX j (L avg,j ) Formula (2)
In the above formula (2), LM (T) represents the frequency domain average time domain maximum scheduling layer number of the target cell (the airspace available layer number of the target cell) in the sampling period T; l (L) avg,j And the average scheduling layer number of the traffic channel of the target cell corresponding to the sampling time j in the sampling period T is shown. Wherein L is avg,j Can be determined by the radio resource load assessment means from the sampled data.
To avoid ambiguity, the meaning of some of the operators in equation (2) is explained as follows: MAX represents maximum value, exemplary MAX j (L avg,j ) Representing L corresponding to each sampling moment j avg,j In the method, the L with the largest value is taken avg,j . This is generally described herein, and will not be described in detail.
It will be appreciated that the meaning of formula (2) above is: and determining the average scheduling layer number of the service channel of the target cell corresponding to each sampling time in the sampling period T, and taking the average scheduling layer number of the service channel of the target cell with the largest value in the average scheduling layer number of the service channel of the target cell corresponding to all the sampling times as the average time domain maximum scheduling layer number of the frequency domain of the target cell, wherein the determined average time domain maximum scheduling layer number represents the space domain available layer number of the target cell.
In one possible implementation manner, the radio resource load assessment device may determine, according to the acquired sampling data and the second preset calculation rule, an average scheduling layer number of the traffic channel of the target cell corresponding to the sampling time j in the sampling period T.
Wherein the second calculation rule satisfies the following formula (3):
in the above formula (3), L avg,j The average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T is shown; m1 i,j (T) represents the number of PRBs occupied by a terminal device i (the terminal device i is a terminal device accessed to a target cell) corresponding to a sampling time j in a sampling period T; l (L) i,j (T) represents the space layer number occupied by the PRB scheduled by the terminal equipment i corresponding to the sampling time j (or the space layer number of the PRB scheduled by the terminal equipment i corresponding to the sampling time j) in the sampling period T; PRB (physical resource block) j And the number of PRBs occupied by the traffic channels of the target cell corresponding to the sampling time j in the sampling period T is shown. Wherein PRB (physical resource block) j The number of PRBs actually occupied by all terminal devices accessing the target cell in the frequency domain corresponding to the sampling time j in the sampling period T can be understood.
In the parameters of the above formula (3), M1 i,j (T)，L i,j (T) and PRB j Can be determined from the acquired sample data. In other words, the target cell may be sampled during the sampling period T to determine M1 i,j (T)，L i,j (T) and PRB j Is a numerical value of (2).
The operation symbols in the above formula (4) may refer to the description of the above formula (1), and will not be described herein. The sum of the above formula (3) i Can also be replaced byBoth represent summing all i.
As can be seen from the foregoing description, in the embodiment of the present application, the frequency domain average time domain maximum scheduling layer number of the target cell in the sampling period is the maximum value of the traffic channel average scheduling layer number of the target cell in the sampling period, and it can be understood that the maximum value may represent the maximum spatial layer number that can be scheduled by the target cell in the sampling period, so that the frequency domain average time domain maximum scheduling layer number of the target cell may be used to represent the actual spatial domain (spatial) available layer number of the target cell in the sampling period, or the actual spatial capability of the target cell. In addition, because the frequency domain average time domain maximum scheduling layer number of the target cell is determined according to the sampling data corresponding to the sampling period and the predefined calculation rule, if the situation of the target cell changes, the frequency domain average time domain maximum scheduling layer number of the target cell also changes correspondingly and automatically along with the change of the cell space capacity. Therefore, in the scheme, the actual airspace available layer number of the target cell can be represented in real time by the frequency domain average time domain maximum scheduling layer number of the target cell, so that the wireless resource utilization rate of the target cell can be calculated as a dynamic space division factor, and the value of Alpha does not need to be frequently configured like the prior scheme. On the other hand, the frequency domain average time domain maximum scheduling layer number is used as a space division factor to determine the wireless resource utilization rate of the cell, so that the situation that the wireless resource utilization rate exceeds hundred can be avoided, and specific reasons are described below.
For S203, in one possible implementation manner, after determining the frequency domain average time domain maximum scheduling layer number of the target cell in the sampling period, the radio resource load evaluation device may determine the radio resource utilization rate of the target cell in the sampling period according to the third preset calculation rule, the sampling data, and the frequency domain average time domain maximum scheduling layer number of the target cell in the sampling period. The radio resource load assessment device may assess the radio resource load condition of the target cell according to the radio resource utilization rate of the target cell.
In the embodiment of the present application, the third calculation rule may satisfy the following formula (4):
in the above formula (4), M (T) represents the target cell within the sampling period TRadio resource utilization (or traffic channel of a cell); m1 i,j (T) represents the number of PRBs occupied by the terminal equipment i corresponding to the sampling time j in the sampling period T (the terminal equipment i is the terminal equipment accessed to the target cell); l (L) ij (T) represents the space layer number occupied by the PRB scheduled by the terminal equipment i corresponding to the sampling time j (or the space layer number of the PRB scheduled by the terminal equipment i at the sampling time j); n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of available PRBs for each layer (spatial layer) of traffic channel of the target cell at each sampling instant in the sampling period T; LM (T) represents the frequency domain average time domain maximum scheduling layer number of the cell in the sampling period T.
In the parameters of the above formula (4), M1 i,j (T)，L i,j (T), N (T) can be determined by the acquired sampling data. In other words, the target cell may be sampled during the sampling period T to determine M1 i,j (T)，L i,j Values of (T) and N (T). P (T) is a preconfigured constant related to frequency domain bandwidth, and is illustratively configured as 273.
The operation symbols in the above formula (4) may refer to the description of the above formula (1), and will not be described herein.
With reference to the above description, it can be seen thatIt can be understood that the cell occupies the radio resource in three dimensions of the time domain, the frequency domain and the space domain in common in the sampling period T. N (T) P (T) LM (T) can be understood as the actual available radio resources of the cell in the three dimensions of the time domain, the frequency domain and the space domain in common within the sampling period T. Therefore, the radio resource utilization of the target cell in the sampling period can be determined by the above formula (4), thereby evaluating the radio resource load of the target cell.
In addition, in the embodiment of the application, the frequency domain average time domain maximum scheduling layer number LM (T) is used as a space division factor, so that the condition that the calculated wireless resource utilization rate exceeds hundred can be avoided.
The specific deduction process is as follows:
according to LM (T) =max j (L avg,j ) The above formula (4) can be obtained:
According toThe method can obtain:
/>
observation ofPRB according to the introduction above j The meanings of j, N (T) and P (T) are shown in the formula +.>Thus->And then obtain
Because of the above formula (4)And the above derivation process derivesIt can be deduced that M (T). Ltoreq.1 calculated according to the above formula (4).
Therefore, the frequency domain average time domain maximum scheduling layer number is used as a space division factor to calculate the wireless resource utilization rate of the target cell, and the unreasonable condition that the calculated wireless resource utilization rate of the target cell exceeds hundred can be avoided.
The radio resource load assessment method provided by the application is determined based on the airspace available layer number of the target cell in the sampling period when the radio resource utilization rate of the target cell is determined. Because the number of airspace available layers of the target cell in the sampling period is determined according to the sampling data in the sampling period, if the situation of the cell changes, the number of airspace available layers of the target cell in the sampling period can also automatically change along with the change of the spatial capacity of the cell, in other words, in the scheme, the number of airspace available layers of the target cell determined according to the sampling data can represent the actual spatial capacity of the target cell in real time. Furthermore, the actual load condition of the wireless resources of the cells in different cells or different user distribution scenes can be reflected in real time according to the wireless resource utilization rate of the cells determined by the airspace available layer number of the target cells in the sampling period. In summary, compared with the existing scheme that the space division factor Alpha used for representing the available layer number of the cell airspace is a configured fixed constant, the scheme solves the problem that the existing scheme is easy to cause unreasonable space division factor Alpha value setting to cause that the wireless resource utilization rate cannot reflect the actual resource occupation, can more accurately and reasonably reflect the wireless resource load condition of the cell under the MIMO scene, and solves the problem that the existing scheme needs to adjust the space division factor Alpha frequently and repeatedly along with the change of time, scene and user distribution, and can reduce the artificial error caused by external interference.
The scheme provided by the embodiment of the application can be applied to calculating the uplink wireless resource utilization rate of the target cell or the downlink wireless resource utilization rate of the target cell, and can also be synchronously applied to calculating the uplink wireless resource utilization rate of the target cell and the downlink wireless resource utilization rate of the target cell.
In the embodiment of the present application, among the parameters related to the traffic channel included in the second calculation rule and the third calculation rule, for the case of calculating the uplink radio resource utilization rate of the target cell, the traffic channel refers to a physical uplink shared channel (physical uplink shared channel, PUSCH) channel. For the case of calculating the downlink radio resource utilization of a cell, the traffic channel refers to the physical downlink shared channel (physical downlink shared channel, PDSCH)A channel. For example, for the case of calculating the uplink radio resource utilization of the target cell, the PRB j And the number of PRBs occupied by the PUSCH of the target cell corresponding to the sampling time j in the sampling period T is shown.
For ease of understanding, the radio resource load assessment method provided in the embodiment of the present application is described below with a specific example.
Assuming that the target cell is the cell a, the sampling period T includes 3 sampling moments, and after the radio resource load assessment device obtains the sampling data of the cell a in the sampling period T, it can be determined that the resource occupation condition of the PDSCH channel of the cell a corresponding to each sampling moment is as follows:
At the 1 st sampling time, there are 5 terminal devices: the resources occupied by PDSCH channels of cell a are shown in fig. 3, where UE1, UE2, UE3, UE4 and UE5 access cell a. The method comprises the steps that 10 PRBs are occupied on a UE1 frequency domain, a space scheduling PRB1 layer, 30 PRBs are occupied on a UE2 frequency domain, a space scheduling PRB2 layer, 30 PRBs are occupied on a UE3 frequency domain, a space scheduling PRB3 layer, 100 PRBs are occupied on a UE4 frequency domain, a space scheduling PRB3 layer, 100 PRBs are occupied on a UE5 frequency domain, and a space scheduling PRB2 layer. Wherein, UE1, UE2 and UE3 are SU-MIMO, and schedule different PRBs belonging to themselves on the frequency domain respectively, as shown in fig. 3, the spatial layers of the PRBs scheduled by UE1, UE2 and UE3 respectively are separated on the frequency domain, and belong to different PRBs. UE4 and UE5 participate in MU-MIMO, and jointly schedule 100 PRBs in the frequency domain, as shown in FIG. 3, the PRBs respectively scheduled by UE4 and UE5 coincide in position in the frequency domain and belong to the same PRB. Therefore, the number of PRBs actually shared by all UEs in the frequency domain is: 10+30+30+100=170, i.e. PRB corresponding to 1 st sampling instant j ＝170。
At the 2 nd sampling time, there are 4 terminal devices: the resources occupied by PDSCH channels of cell a are shown in fig. 4 for UE1, UE2, UE3 and UE4 to access cell a. 60 PRBs are occupied on the UE1 frequency domain, 70 PRBs are occupied on the UE2 frequency domain, 90 PRBs are occupied on the UE3 frequency domain, 90 PRBs are occupied on the UE4 frequency domain, and the PRB2 layers are occupied on the space scheduling. Wherein, UE1 and UE2 are SU-MIMO, respectively schedule different PRBs belonging to itself on the frequency domain, as shown in fig. 4, UE1 and UE2 respectively The scheduled PRB spatial layers are separated in the frequency domain, belonging to different PRBs. UE3 and UE4 participate in MU-MIMO, and jointly schedule 90 PRBs in the frequency domain, as shown in FIG. 4, the PRBs respectively scheduled by UE3 and UE4 coincide in position in the frequency domain and belong to the same PRB. Therefore, the number of PRBs actually shared by all UEs in the frequency domain is: 60+70+90=220, i.e. PRB corresponding to the 2 nd sampling instant j ＝220。
At the 3 rd sampling time, there are 5 terminal devices: the resources occupied by PDSCH channels of cell a are shown in fig. 5, where UE1, UE2, UE3, UE4 and UE5 access cell a. The method comprises the steps that 20 PRBs are occupied on a UE1 frequency domain, 30 PRBs are occupied on a UE2 frequency domain, 100 PRBs are occupied on a UE3 frequency domain, 100 PRBs are occupied on a UE4 frequency domain, 100 PRBs are occupied on a UE5 frequency domain, and the PRBs are occupied on a space scheduling PRB4 frequency domain. Wherein, UE1 and UE2 are SU-MIMO, and schedule different PRBs belonging to themselves on the frequency domain, as shown in fig. 5, the spatial layers of the PRBs scheduled by UE1 and UE2 respectively are separated on the frequency domain, and belong to different PRBs. UE3, UE4 and UE5 participate in MU-MIMO, and jointly schedule 100 PRBs in the frequency domain, as shown in FIG. 5, the PRBs respectively scheduled by UE3, UE4 and UE5 coincide in position in the frequency domain and belong to the same PRB. Therefore, the number of PRBs actually shared by all UEs in the frequency domain is: 20+30+100=150, i.e. PRB corresponding to the 3 rd sampling instant j ＝150。
After the radio resource load assessment device obtains the sampling data corresponding to each sampling time, the radio resource utilization rate of the cell a can be determined according to the sampling data, the first calculation rule and the second calculation rule. The specific process is as follows:
according to the above formula (3), the radio resource=10×1+30×2+30×3+100×3+100×2=660 occupied by the cell a corresponding to the 1 st sampling time in the three dimensions of the time domain, the frequency domain and the space domain can be obtained. I.e. sigma corresponding to sample time 1 i M1 i,j (T)*L i,j (T)＝660。
According to the above formula (3), the radio resource=60×1+70×3+90×4+90×2=810 occupied by the cell a corresponding to the 2 nd sampling time in the three dimensions of the time domain, the frequency domain and the space domain can be obtained. I.e. the 2 nd sampling instant corresponds toSigma of (2) i M1 i,j (T)*L i,j (T)＝810。
According to the above formula (3), three cells A corresponding to the 3 rd sampling time can be obtained in the time domain, the frequency domain and the space domain radio resources occupied by the dimensions in common = 20 x 1+30 x 2+100 x 4 = 880. I.e. sigma corresponding to sample time 3 i M1 i,j (T)*L i,j (T)＝880。
Therefore, according to the above formula (4), the radio resource=660+810+880=2350 occupied by the cell a in the three dimensions of the time domain, the frequency domain and the space domain in the sampling period T can be obtained. I.e. sampling period T corresponds to
According to the above formula (3), the average scheduling layer number=660/170=3.88 of the traffic channel of the cell a corresponding to the 1 st sampling time can be obtained. I.e. L corresponding to the 1 st sampling instant avg,j ＝3.88。
According to the above formula (3), the average scheduling layer number=810/220=3.68 of the traffic channel of the cell a corresponding to the 2 nd sampling time can be obtained. I.e. L corresponding to sample time 2 avg,j ＝3.68。
According to the above formula (3), the average scheduling layer number=880/150=5.87 of the traffic channel of the cell a corresponding to the 3 rd sampling time can be obtained. I.e. L corresponding to sample time 3 avg,j ＝5.87。
After the radio resource load assessment device obtains the average scheduling layer number of the cell a traffic channel corresponding to each sampling time, according to the above formula (2), the frequency domain average time domain maximum scheduling layer number=max (3.88,3.68,5.87) =5.87 of the cell a is determined. I.e., LM (T) =5.87.
Assuming that P (T) =273 is configured, according to the above formula (4), the available radio resource=273×5.87×3= 4807.53 common to the cell a in three dimensions of the time domain, the frequency domain and the space domain can be obtained in the sampling period T. I.e., N (T) ×p (T) ×lm (T) = 4807.53.
The radio resource load evaluation device obtains radio resources commonly occupied by the cell a in three dimensions of the time domain, the frequency domain and the space domain in the sampling period T, and obtains available radio resources commonly occupied by the cell a in the three dimensions of the time domain, the frequency domain and the space domain in the sampling period T according to the above formula (4), and then the radio resource utilization ratio=2350/4807.53 ×100% =48.88% of the cell a in the sampling period T.
The above description has been made mainly in terms of the radio resource load evaluation device performing the radio resource load evaluation method according to the embodiment of the present application. In order to realize the above functions, the radio resource load assessment device includes a hardware structure and/or a software module for executing the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The embodiment of the present application may divide the functional modules of the radio resource load assessment device according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware or in software functional modules. Optionally, the division of the modules in the embodiments of the present application is schematic, which is merely a logic function division, and other division manners may be actually implemented. Further, "module" herein may refer to an application-specific integrated circuit (ASIC), an electrical circuit, a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that can provide the above-described functionality.
Fig. 6 shows a schematic configuration of a radio resource load assessment device 60 in the case of using functional block division. As shown in fig. 6, the radio resource load assessment apparatus 60 includes a communication module 601 and a processing module 602.
In some embodiments, the radio resource load assessment device 60 may also include a memory module (not shown in fig. 6) for storing program instructions and data.
The communication module 601 is configured to obtain sampling data of a target cell in a sampling period; a processing module 602, configured to determine, according to the sampling data, an available number of layers of the airspace of the target cell in the sampling period; the processing module 602 is further configured to determine a radio resource utilization rate of the target cell in the sampling period according to the sampling data and the number of airspace available layers of the target cell in the sampling period; wherein the radio resource utilization of the target cell is used to evaluate the radio resource load of the target cell.
As a possible implementation, the processing module 602, configured to determine, according to the sampling data, a spatial domain available layer number of the target cell in the sampling period, includes: the processing module is used for determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling moment j in the sampling period T according to the sampling data; according to the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j and a first calculation rule, determining the airspace available layer number of the target cell in the sampling period, wherein the first calculation rule satisfies the following relation: LM (T) =max j (L avg,j ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein, LM (T) represents the space domain available layer number of the target cell in the sampling period T; l (L) avg,j The average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T is shown;
MAX j (L avg,j ) Representing L corresponding to each sampling moment j avg,j In the method, the L with the largest value is taken avg,j 。
As one possible implementation, the sampled data includes: m1 i,j (T)，L i,j (T) and PRB j ，M1 i,j (T) represents the number of physical resource blocks PRB occupied by the terminal equipment i of the access target cell corresponding to the sampling time j in the sampling period T; l (L) i,j (T) represents the number of space layers occupied by PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; PRB (physical resource block) j Representing the traffic channel of the target cell corresponding to the sampling time j within the sampling period TThe number of occupied PRBs; the processing module 602 is configured to determine, according to the sampling data, an average scheduling layer number of a traffic channel of the target cell corresponding to the sampling time j in the sampling period T, where the processing module includes: the processing module 602 is configured to determine, according to the sampling data and a second calculation rule, an average scheduling layer number of a traffic channel of the target cell corresponding to the sampling time j in the sampling period T, where the second calculation rule satisfies the following relationship: wherein L is avg,j The average scheduling layer number of the traffic channel of the cell corresponding to the sampling time j in the sampling period T is shown as sigma i Representing the summation of all i.
As one possible implementation, the sampled data includes: m1 i,j (T)，L i,j (T), N (T) and P (T), M1 i,j (T) represents the number of physical resource blocks PRB occupied by the terminal equipment i of the access target cell corresponding to the sampling time j in the sampling period T; l (L) i,j (T) represents the number of space layers occupied by PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of available PRBs of each layer of traffic channel of the target cell at each sampling moment in the sampling period T; a processing module 602, configured to determine, according to the sampling data and the number of airspace available layers of the target cell in the sampling period, a radio resource utilization rate of the target cell in the sampling period, where the processing module includes: the processing module 602 is configured to determine, according to the sampling data and the number of airspace available layers of the target cell in the sampling period and a third calculation rule, a radio resource utilization rate of the target cell in the sampling period, where the third calculation rule satisfies the following relationship:wherein M is E (T) represents the radio resource utilization of the target cell during the sampling period T, +.>Representing summing all i; />Representing the summation of all j.
As one possible implementation, the radio resource utilization rate of the target cell is an uplink radio resource utilization rate of the target cell or a downlink radio resource utilization rate of the target cell; under the condition that the wireless resource utilization rate of the target cell is the uplink wireless resource utilization rate of the target cell, the service channel is a Physical Uplink Shared Channel (PUSCH); when the radio resource utilization rate of the target cell is the downlink radio resource utilization rate of the target cell, the traffic channel is a physical downlink shared channel PDSCH channel.
All relevant contents of each step related to the above method embodiment may be cited to the functional descriptions of the corresponding functional modules, which are not described herein.
In the case where the functions of the above-described functional blocks are implemented in the form of hardware, fig. 7 shows a schematic diagram of another radio resource load assessment device 70. As shown in fig. 7, the radio resource load assessment apparatus includes a processor 701, a memory 702, and a bus 703. The processor 701 and the memory 702 may be connected by a bus 703.
The processor 701 is a control center of the radio resource load assessment device 70, and may be one processor or a collective term of a plurality of processing elements. For example, the processor 701 may be a general-purpose central processing unit (central processing unit, CPU), or may be another general-purpose processor. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.
As one example, processor 701 may include one or more CPUs, such as CPU 0 and CPU 1 shown in fig. 7.
Memory 702 may be, but is not limited to, read-only memory (ROM) or other type of static storage device that can store static information and instructions, random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, as well as electrically erasable programmable read-only memory (EEPROM), magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
As a possible implementation, the memory 702 may exist separately from the processor 701, and the memory 702 may be connected to the processor 701 through the bus 703 for storing instructions or program code. When the processor 701 calls and executes the instructions or the program codes stored in the memory 702, the method for using the one-time identification provided by the embodiment of the invention can be implemented.
In another possible implementation, the memory 702 may also be integrated with the processor 701.
Bus 703 may be an industry standard architecture (Industry Standard Architecture, ISA) bus, a peripheral component interconnect (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 7, but not only one bus or one type of bus.
Note that the configuration shown in fig. 7 does not constitute a limitation of the radio resource load assessment device 70. The radio resource load assessment device 70 may include more or less components than those shown in fig. 7, or may combine certain components, or may have a different arrangement of components.
As an example, in connection with fig. 6, the communication module 601 and the processing module 602 in the radio resource load assessment apparatus 60 realize the same functions as those of the processor 701 in fig. 7.
Optionally, as shown in fig. 7, the radio resource load assessment apparatus 70 provided in the embodiment of the present application may further include a communication interface 704.
Communication interface 704 for connecting with other devices via a communication network. The communication network may be an ethernet, a radio access network, a wireless local area network (wireless local area networks, WLAN), etc. The communication interface 704 may include a receiving unit for receiving data and a transmitting unit for transmitting data.
In a possible implementation manner, in the radio resource load assessment device 70 provided in the embodiment of the present application, the communication interface 704 may also be integrated in the processor 701, which is not specifically limited in the embodiment of the present application.
As one possible product form, the radio resource load assessment device of the embodiment of the present application may be further implemented using the following: one or more field programmable gate arrays (field programmable gate array, FPGA), programmable logic devices (programmable logic device, PLD), controllers, state machines, gate logic, discrete hardware components, any other suitable circuit or combination of circuits capable of performing the various functions described throughout this application.
From the above description of embodiments, it will be apparent to those skilled in the art that the foregoing functional unit divisions are merely illustrative for convenience and brevity of description. In practical applications, the above-mentioned function allocation may be performed by different functional units, i.e. the internal structure of the device is divided into different functional units, as needed, to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
The embodiment of the present invention also provides a computer-readable storage medium, where instructions are stored, and when the computer executes the instructions, the computer executes each step in the method flow shown in the above method embodiment.
Embodiments of the present invention provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the steps of the method flow shown in the method embodiments described above.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: electrical connections having one or more wires, portable computer diskette, hard disk. Random access Memory (Random Access Memory, RAM), read-Only Memory (ROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), registers, hard disk, optical fiber, portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium suitable for use by a person or persons of skill in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in a special purpose ASIC. In the context of the present application, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Since the radio resource load assessment apparatus, the computer readable storage medium and the computer program product provided in the present embodiment can be applied to the radio resource load assessment method provided in the present embodiment, the technical effects obtained by the method may also refer to the method embodiments described above, and the embodiments of the present invention are not repeated here.
Although the present application has been described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the figures, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
Although the present application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely exemplary illustrations of the present application as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the present application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims (10)

1. A radio resource load assessment method, the method comprising:
acquiring sampling data of a target cell in a sampling period;
determining the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data;
determining the airspace available layer number of the target cell in the sampling period according to the average scheduling layer number of the traffic channel of the target cell corresponding to the sampling time j and a first calculation rule, wherein the first calculation rule satisfies the following relation:
LM(T)＝MAX j (l avg，j )；
wherein LM (T) represents the number of airspace usable layers of the target cell in the sampling period T; l (L) avg,j Representing the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T; MAX (MAX) j (l avg,j ) Representing l corresponding to each sampling instant j avg,j In the method, the l with the largest value is taken avg,j ；
Determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data and the airspace available layer number of the target cell in the sampling period; the wireless resource utilization rate of the target cell is used for evaluating the wireless resource load of the target cell.
2. The method of claim 1, wherein the sampled data comprises: m1 i,j (T)，L i，j (T) and PRB j ，M1 i，j (T) represents the number of Physical Resource Blocks (PRBs) occupied by the terminal equipment i accessed to the target cell corresponding to the sampling time j in the sampling period T; l (L) i,j (T) represents the number of space layers occupied by the PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; PRB (physical resource block) j Representing the number of PRBs occupied by the service channels of the target cell corresponding to the sampling time j in the sampling period T; and determining an average scheduling layer number of the traffic channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data, including:
determining an average scheduling layer number of the traffic channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data and a second calculation rule, wherein the second calculation rule satisfies the following relationship:
wherein L is avg，j Representing the average scheduling layer number, sigma, of the traffic channel of the target cell corresponding to the sampling time j in the sampling period T i Representing the summation of all i.
3. The method according to claim 1 or 2, wherein the sampled data comprises: m1 i，j (T)，L i，j (T), N (T) and P (T), M1 i,j (T) represents that the target cell is accessed corresponding to the sampling time j in the sampling period TThe number of physical resource blocks PRB occupied by the terminal equipment i; l (L) i,j (T) represents the number of space layers occupied by the PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of available PRBs for each layer of traffic channel of the target cell at each sampling instant in the sampling period T; the determining the radio resource utilization rate of the target cell in the sampling period according to the sampling data and the airspace available layer number of the target cell in the sampling period comprises the following steps:
determining the wireless resource utilization rate of the target cell in the sampling period according to the sampling data, the airspace available layer number of the target cell in the sampling period and a third calculation rule, wherein the third calculation rule satisfies the following relation:
wherein M is E (T) represents the radio resource utilization of the target cell during the sampling period T,representing summing all i; />Representing the summation of all j.
4. The method according to claim 1 or 2, wherein the radio resource utilization of the target cell is an uplink radio resource utilization of the target cell or a downlink radio resource utilization of the target cell;
The service channel is a Physical Uplink Shared Channel (PUSCH) channel under the condition that the wireless resource utilization rate of the target cell is the uplink wireless resource utilization rate of the target cell;
and under the condition that the wireless resource utilization rate of the target cell is the downlink wireless resource utilization rate of the target cell, the service channel is a Physical Downlink Shared Channel (PDSCH) channel.
5. A radio resource load assessment apparatus, characterized in that the radio resource load assessment apparatus comprises: a communication module and a processing module;
the communication module is used for acquiring sampling data of a target cell in a sampling period;
the processing module is configured to determine, according to the sampling data, an average scheduling layer number of a traffic channel of the target cell corresponding to a sampling time j in the sampling period T, and determine, according to the average scheduling layer number of the traffic channel of the target cell corresponding to the sampling time j and a first calculation rule, an available layer number of a space domain of the target cell in the sampling period, where the first calculation rule satisfies the following relationship:
LM(T)＝MAX j (L avg,j )；
wherein LM (T) represents the number of airspace usable layers of the target cell in the sampling period T; l (L) avg，j Representing the average scheduling layer number of the service channel of the target cell corresponding to the sampling time j in the sampling period T; MAX (MAX) j (L avg，j ) Representing L corresponding to each sampling moment j avg，j In the method, the L with the largest value is taken avg,j ；
The processing module is further configured to determine a radio resource utilization rate of the target cell in the sampling period according to the sampling data and the number of airspace available layers of the target cell in the sampling period; the wireless resource utilization rate of the target cell is used for evaluating the wireless resource load of the target cell.
6. The radio resource load assessment apparatus according to claim 5, wherein the sampling data comprises: m1 i,j (T)，L i,j (T) and PRB j ，M1 i,j (T) represents the terminal accessed to the target cell corresponding to the sampling time j in the sampling period TThe number of physical resource blocks PRB occupied by the terminal equipment i; l (L) i，j (T) represents the number of space layers occupied by the PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; PRB (physical resource block) j Representing the number of PRBs occupied by the service channels of the target cell corresponding to the sampling time j in the sampling period T; the processing module is configured to determine, according to the sampling data, an average scheduling layer number of a traffic channel of the target cell corresponding to a sampling time j in the sampling period T, where the processing module includes:
The processing module is configured to determine an average scheduling layer number of a traffic channel of the target cell corresponding to the sampling time j in the sampling period T according to the sampling data and a second calculation rule, where the second calculation rule satisfies the following relationship:
wherein L is avg,j Representing the average scheduling layer number, sigma, of the traffic channel of the target cell corresponding to the sampling time j in the sampling period T i Representing the summation of all i.
7. The radio resource load assessment device according to claim 5 or 6, wherein the sampling data includes: m1 i，j (T)，L i,j (T), N (T) and P (T), M1 i,j (T) represents the number of Physical Resource Blocks (PRBs) occupied by the terminal equipment i accessed to the target cell corresponding to the sampling time j in the sampling period T; l (L) i，j (T) represents the number of space layers occupied by the PRB scheduled by the terminal equipment i corresponding to the sampling time j in the sampling period T; n (T) represents the number of sampling instants within the sampling period T; p (T) represents the number of available PRBs for each layer of traffic channel of the target cell at each sampling instant in the sampling period T; the processing module is configured to determine the target small in the sampling period according to the sampling data and the number of airspace available layers of the target cell in the sampling period The radio resource utilization of the zone includes:
the processing module is configured to determine, according to the sampling data and the third calculation rule and the number of airspace available layers of the target cell in the sampling period, a radio resource utilization rate of the target cell in the sampling period, where the third calculation rule satisfies the following relationship:
wherein M is E (T) represents the radio resource utilization of the target cell during the sampling period T,representing summing all i; />Representing the summation of all j.
8. The radio resource load assessment apparatus according to claim 5 or 6, wherein the radio resource utilization ratio of the target cell is an uplink radio resource utilization ratio of the target cell or a downlink radio resource utilization ratio of the target cell;
the service channel is a Physical Uplink Shared Channel (PUSCH) channel under the condition that the wireless resource utilization rate of the target cell is the uplink wireless resource utilization rate of the target cell;
and under the condition that the wireless resource utilization rate of the target cell is the downlink wireless resource utilization rate of the target cell, the service channel is a Physical Downlink Shared Channel (PDSCH) channel.
9. A radio resource load assessment apparatus, characterized in that the radio resource load assessment apparatus comprises: a processor;
The processor is configured to read computer-executable instructions in a memory and execute the computer-executable instructions to cause the radio resource load assessment device to perform the method of any of claims 1-4.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program or instructions which, when executed by a radio resource load assessment device, implements the method according to any of claims 1-4.
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